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Hi, I’m Michelle (Qinxue) Chen. I’m a hybrid expert in AI agents, quantitative finance, and RegTech, with a Distinction from HKU in Computer Science (Financial Computing). I design bio-inspired cognitive agents and agentic workflows that translate cutting-edge AI research into practical finance applications. From Tencent’s WeChat security team to the CSRC regulation framework and beyond, I’ve shipped scalable NLP-based anti-fraud systems for 1B+ users, built dynamic risk monitoring for public funds, and deployed high-performance quant strategies. I enjoy turning complex data into robust, compliant products that scale and create real value.…Hi, I’m Michelle (Qinxue) Chen. I’m a hybrid expert in AI agents, quantitative finance, and RegTech, with a Distinction from HKU in Computer Science (Financial Computing). I design bio-inspired cognitive agents and agentic workflows that translate cutting-edge AI research into practical finance applications. From Tencent’s WeChat security team to the CSRC regulation framework and beyond, I’ve shipped scalable NLP-based anti-fraud systems for 1B+ users, built dynamic risk monitoring for public funds, and deployed high-performance quant strategies. I enjoy turning complex data into robust, compliant products that scale and create real value.

Michelle (Qinxue) CHEN

Data Scientist, AI Engineer, AI Strategy Consultant, +2

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Hi, I’m Michelle (Qinxue) Chen. I’m a hybrid expert in AI agents, quantitative finance, and RegTech, with a Distinction from HKU in Computer Science (Financial Computing). I design bio-inspired cognitive agents and agentic workflows that translate cutting-edge AI research into practical finance applications. From Tencent’s WeChat security team to the CSRC regulation framework and beyond, I’ve shipped scalable NLP-based anti-fraud systems for 1B+ users, built dynamic risk monitoring for public funds, and deployed high-performance quant strategies. I enjoy turning complex data into robust, compliant products that scale and create real value.…Hi, I’m Michelle (Qinxue) Chen. I’m a hybrid expert in AI agents, quantitative finance, and RegTech, with a Distinction from HKU in Computer Science (Financial Computing). I design bio-inspired cognitive agents and agentic workflows that translate cutting-edge AI research into practical finance applications. From Tencent’s WeChat security team to the CSRC regulation framework and beyond, I’ve shipped scalable NLP-based anti-fraud systems for 1B+ users, built dynamic risk monitoring for public funds, and deployed high-performance quant strategies. I enjoy turning complex data into robust, compliant products that scale and create real value.

Available to hire

Hi, I’m Michelle (Qinxue) Chen. I’m a hybrid expert in AI agents, quantitative finance, and RegTech, with a Distinction from HKU in Computer Science (Financial Computing). I design bio-inspired cognitive agents and agentic workflows that translate cutting-edge AI research into practical finance applications.

From Tencent’s WeChat security team to the CSRC regulation framework and beyond, I’ve shipped scalable NLP-based anti-fraud systems for 1B+ users, built dynamic risk monitoring for public funds, and deployed high-performance quant strategies. I enjoy turning complex data into robust, compliant products that scale and create real value.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

English

Advanced

Work Experience

Mutual Fund Supervision Lead at China Securities Regulatory Commission (CSRC)

June 1, 2023 - July 31, 2024

Established a Dynamic Risk Monitoring System for public funds, using data modeling to track T+0 position changes and NAV fluctuations to enable real-time alerts for liquidity and credit risks. Led Look-through supervision of fund managers and built a dual-dimension validation model (Compliance + Expertise) aligned with international asset management standards.

Algorithm Engineer at Tencent (WeChat Group)

May 1, 2021 - February 28, 2023

Led defense against high-profile impersonation fraud with an adversarial NLP system, including Attacker Psychology Simulation and Behavioral Analysis. Designed a full lifecycle intelligent interception network, increasing annual stop-loss rate from 30% to 90% and reducing platform financial risk. First inventor on the patent 'Method for Impersonation Identification and Diffusion based on NLP'.

Quant Research Intern at Huatai Securities

September 1, 2018 - June 1, 2020

NLP factor mining using Chinese BERT for financial sentiment (F1 > 0.88). Developed an alternative sentiment factor strategy delivering 51.61% (2019) and 69.69% (2020) absolute returns; strategy ranked Top 10% in stability.